Emerging Targets and Therapeutics in Immuno-Oncology: Insights from Landscape Analysis

Abstract

In the ever-evolving landscape of cancer research, immuno-oncology stands as a beacon of hope, offering novel avenues for treatment. This study capitalizes on the vast repository of immuno-oncology-related scientific documents within the CAS Content Collection, totaling over 350,000, encompassing journals and patents. Through a pioneering approach melding natural language processing with the CAS indexing system, we unveil over 300 emerging concepts, depicted in a comprehensive "Trend Landscape Map". These concepts, spanning therapeutic targets, biomarkers, and types of cancers among others, are hierarchically organized into eight major categories. Delving deeper, our analysis furnishes detailed quantitative metrics showcasing growth trends over the past three years. Our findings not only provide valuable insights for guiding future research endeavors but also underscore the merit of tapping the vast and unparalleled breadth of existing scientific information to derive profound insights. ■ SIGNIFICANCEA "Trend Landscape Map" of emerging concepts in immunooncology has been crafted based on a comprehensive analysis of the extensive CAS Content Collection. The map has been constructed by utilizing a novel Natural Language Processing algorithm in combination with extensive curation by subject matter experts, resulting in identification of >300 emergent topics across eight main areas of interest. The map acts as a visual aid, with detailed quantitative metrics of recent growth illustrating the spread of emerging ideas in immuno-oncology.

Review of Carbon Nanotube Research and Development: Materials and Emerging Applications

“…This analysis was performed by first identifying journal and patent publications in the CAS Content Collection related to CNTs, which resulted in a set of roughly 265,000 documents. We identified emerging applications, materials, applications, properties, and other concepts in CNT-related research using a Natural Language Processing (NLP) based approach. , This analysis identified over 39,000 concepts that appear in at least 20 documents, which were then classified, counted, grouped, and analyzed. The content of the following sections is based on the results of this analysis, in combination with substances, concepts, and other information indexed in the CAS Content Collection.…”

“…For a more detailed description of this process including specifics of the NLP methodology, please see the Methods section in the Supporting Information. This NLP methodology has been used successfully by us to identify emerging concepts in several other scientific areas including immuno-oncology, biomaterials, and few more unpublished materials currently in the works.…”